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This hands-on certificate introduces business professionals and managers to the transformative power of AI and automation in business operations. Through a series of interactive sessions and applied activities, learners will explore AI-driven tools and workflows that streamline communication, improve decision-making, enhance customer engagement, and optimize financial and HR processes.

Participants will build and deploy practical AI-powered systems using accessible platforms such as Google Sheets, Gemini API, and ChatGPT-based integrations, Copilot, culminating in a capstone project aligned with real business needs.

LEARNING OBJECTIVES
The course aims to achieve the following objectives:
  • • Understand Core AI Concepts
  • • Apply Prompt Engineering Techniques
  • • Automate Repetitive Business Tasks
  • • Leverage AI for Data-Driven Decision Making
  • • Enhance Customer Engagement Using AI
  • • Implement AI in HR and Team Productivity
  • • Design Financial Automation and Risk Insights

WHO IS THIS PROGRAM FOR?
This certificate is ideal for early to mid-career professionals, Business managers, team leaders, and entrepreneurs who are looking to integrate AI into operations, customer engagement, and business growth. HR, marketing, sales, CRM, finance, and IT professionals aiming to automate workflows, personalize communication, and enhance decision-making with AI-powered tools.

PREREQUISITES
  • • Basic digital literacy: Comfort using productivity tools like Google Sheets and Forms.
  • • Familiarity with business workflows: Understanding of your organization’s operations, communication, and decision-making processes.
  • • No programming required

HOW IS THE “AI IN ACTION” CERTIFICATE DELIVERED?
  • • All courses are delivered online through engaging live sessions, practical activities, and real-world case studies that empower participants to apply AI tools effectively in business contexts.
  • • Sessions are held twice per week, with each meeting lasting 2 hours and scheduled outside regular working hours to accommodate busy professionals.



PROGRAM OUTLINE
SESSION 1: INTRODUCTION TO AI
& BUSINESS OPTIMIZATION
  • Learning Objectives: Understand core AI concepts and how they relate to business efficiency.
  • Key Topics: AI definitions, business trends, overview of AI impact across industries.


SESSION 2: DATA FOUNDATIONS &
DECISION-MAKING WITH AI
  • Learning Objectives: Learn to use AI with automation in Google Sheets for intelligent data processing and decision support.
  • Learning Outcomes: Participants will be able to clean datasets, generate AI-powered forecasts, and automate reporting using Gemini API.
SESSION 3: CUSTOMER ENGAGEMENT
& MARKETING AUTOMATION
  • Learning Objectives: Apply AI to improve customer engagement and communication.
  • Key Topics: Personalization, segmentation, lead scoring, chatbot design.

SESSION 4: AI FOR OPERATIONAL
PRODUCTIVITY & AUTOMATION
  • Learning Objectives: Explore how AI can enhance productivity tracking and automate operational processes across departments.
  • Learning Outcomes: Participants will identify patterns from reflection data and use AI tools to propose and implement productivity-enhancing strategies.
  • Key Topics: Task tracking, daily work reflection, workflow automation, productivity pattern recognition.
SESSION 5: AI-POWERED HUMAN
RESOURCES & PRODUCTIVITY
  • Learning Objectives: Improve hiring, onboarding, and internal communications using AI tools.
  • Learning Outcomes: Participants will build AI workflows to evaluate job candidates, generate personalized replies, and simulate onboarding steps.
  • Key Topics: Resume screening, onboarding automation, performance coaching.
SESSION 6: AI IN FINANCIAL
DECISION-MAKING (EXCEL DATA-DRIVEN)
  • Learning Objectives: Apply AI to accounting, economics, and budgeting using uploaded Excel datasets.
  • Learning Outcomes: Participants will apply Gemini to extract insights from financial data, detect anomalies, and generate recommendations.
  • Key Topics: Financial forecasting & budgeting, fraud detection, AI credit scoring and risk assessment.
SESSION 7: AI IMPLEMENTATION
ROADMAP
  • Learning Objectives: Plan and structure real AI implementation in business workflows.
  • Learning Outcomes: Participants will design a simple AI integration roadmap aligned with a real or proposed use case.
  • Key Topics: AI pilot testing, resource mapping, team collaboration.
SESSION 8: AI ETHICS, BIAS,
& GOVERNANCE
  • Learning Objectives: Understand ethical implications and fairness in AI use.
  • Learning Outcomes: Participants will critically evaluate potential risks in AI-based decision-making and propose responsible AI practices.
  • Key Topics: Bias, transparency, data privacy, regulations (e.g., GDPR).
SESSION 9: CAPSTONE PROJECTS
& PRESENTATIONS
Apply the concepts, tools, and skills learned across the course to design, prototype, and present a real or simulated AI-powered solution for a business process in your department or industry.




INSTRUCTOR




Rabih Kahaleh is an innovative researcher and IT specialist with expertise in artificial intelligence, software development, and business process optimization.
He designs intelligent systems that enhance operational efficiency, automate workflows, and support strategic decision-making. With a strong foundation in web technologies and systems integration, he applies scalable AI solutions tailored to business contexts.
His projects span CRM optimization, inventory and sales automation, and intelligent tools for HR functions such as talent analytics and workforce planning. Rabih brings extensive experience leading software teams and managing digital transformation initiatives.
He is committed to ethical AI adoption that drives innovation, productivity, and long-term business value.
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